Understanding the Spatiotemporal Charging Patterns of Battery Electric Vehicles: A Case Study in Shanghai, China DOI
Xinghua Li, Yifan Xie, Yuntao Guo

et al.

2021 China Automation Congress (CAC), Journal Year: 2023, Volume and Issue: unknown, P. 8569 - 8574

Published: Nov. 17, 2023

Understanding the spatiotemporal patterns of electric vehicle (EV) drivers' charging behavior is an essential component both demand management and public infrastructure planning. However, most existing studies rely on relatively small samples EV behavior, potentially missing complexity heterogeneity inherent in these patterns. To address this limitation, our study proposes a two-step framework that uses trajectory state-of-charge data from over 200,000 battery vehicles (BEVs) operating Shanghai, China month. This comprehensive set represents all actively used BEVs city. The initial step involves using density-based clustering algorithm to differentiate between mobility service BEV (MBEV) drivers (traditional taxi ridesourcing drivers) private (PBEV) drivers. bases distinction criteria such as daily travel distance, variance locations, frequency. Then, Latent Dirichlet Allocation models are estimated separately for MBEV PBEV These identify 36 unique each type driver, encompassing 6 spatial temporal results underscore major differences drivers, within groups themselves, terms their station choices. likely reflect distinct needs preferences. not only offers analysis megacity, but also lays groundwork developing more driver-centered strategies

Language: Английский

Investigating the physical ergonomic risks associated with last-mile delivery personnel riding motorcycles DOI

V. Kamala,

S. Yamini, M.S. Gajanand

et al.

International Journal of Productivity and Performance Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Purpose Urbanisation, e-commerce and COVID-19 are the strong drivers for an ever-increasing demand last-mile delivery services. Last-mile deliveries face tight deadlines considerable time pressure due to increased parcel volumes regular seasonal sales. Given these challenges involved in customer satisfaction, usage of motorcycles has considerably increased. Despite popularity motorcycles, increases rider injuries fatalities have become a public health concern. The purpose this paper is address ergonomic risks Design/methodology/approach objective study analyse physical associated with personnel. Cornell Musculoskeletal Discomfort Questionnaire used Data collection Logistic regression data. Further, Hand-Arm Vibration Whole-Body data Heart Rate Variability; Rapid Entire Body Assessment tool riding posture. Findings continuous repetitive loading on musculoskeletal system leads risk factors disorders (MSDs). findings provided insights about MSDs variables Originality/value results highlight need solutions improved working conditions. contributes new that will be helpful academicians, practitioners, policy makers researchers areas assessment motorcycle riders.

Language: Английский

Citations

0
Unraveling Influence of Psychological Heterogeneity on Intercity Travelers’ Last-Mile Mode Choice Based on Mixture Regression Modeling DOI

Jiangbo Yu,

Jiancheng Weng, Pengfei Lin

et al.

Journal of Urban Planning and Development, Journal Year: 2025, Volume and Issue: 151(2)

Published: April 4, 2025

Language: Английский

Citations

0
Modeling Telecommuting and Teleshopping Preferences in the Post-Pandemic Era DOI Creative Commons
Shivam Khaddar, Mahmudur Rahman Fatmi

Transportation Research Record Journal of the Transportation Research Board, Journal Year: 2024, Volume and Issue: 2678(8), P. 803 - 820

Published: Jan. 13, 2024

COVID-19 mitigation measures triggered a sharp increase in the adoption of teleshopping and telecommuting activities. However, there is need to understand extent which past frequencies experiences will affect post-pandemic teleactivity behavior. Moreover, are interconnected, relationship may exist between them world. This study investigates preferences toward online grocery shopping, food ordering, working from home by using multivariate ordered probit (MVOP) model. The data come web-based survey conducted for Central Okanagan region Canada. Model results confirm presence unobserved factors influencing choices. Looking at endogeneity, after pandemic revealed positive effect on shopping. were not same ordering. also significant impact preferences. Overall, findings provide important insights into activity travel patterns can be used robust policymaking.

Language: Английский

Citations

4
Heterogeneity in route choice during peak hours: Implications on travel demand management DOI
Jihao Deng, Tianhao Li, Zhiwei Yang

et al.

Travel Behaviour and Society, Journal Year: 2024, Volume and Issue: 38, P. 100922 - 100922

Published: Oct. 12, 2024

Language: Английский

Citations

3
Assessing the long-term impact of COVID-19 on travel behavior: The United Arab Emirates perspective DOI Creative Commons
Khaled Hamad, Yahya El Traboulsi, Abdallah Shanableh

et al.

Transportation Research Interdisciplinary Perspectives, Journal Year: 2023, Volume and Issue: 23, P. 101008 - 101008

Published: Dec. 31, 2023

The unprecedented COVID-19 pandemic has caused significant short-term travel disruptions and profound changes in daily routines. Yet, the long-term impact on behavior mobility remains unclear. present study examines enduring effects of patterns United Arab Emirates (UAE) through a comprehensive survey assessing impacts participants' during different stages pandemic. covered modes, frequency, duration, distance, unveiling pandemic-driven shift towards increased personal vehicle usage due to public transportation concerns. Nevertheless, as gradually recedes, individuals are slowly reverting their pre-pandemic habits. Moreover, results indicate that vary depending distance traveled. Short-distance largely returned levels, while medium-distance continues lag. Intriguingly, post-pandemic levels long-distance have exceeded figures, indicating potential alteration behaviors. These observed were substantiated by paired t-test, demonstrating difference across nearly all periods examined. In summary, this research sheds light consequences UAE. data uncovers noteworthy transformation pandemic, with subsequent gradual reversion norms. Notably, findings suggest shifts preferences distances, surpassing levels. insights contribute deeper understanding lasting choices.

Language: Английский

Citations

7
Investigating commuters' working from home attitudes and its explanatory factors after the lifting of COVID-19 prevention and control policies DOI
Qiuyan Zhao,

Jiankun Yang,

Xiaoxi Wang

et al.

Case Studies on Transport Policy, Journal Year: 2024, Volume and Issue: 15, P. 101157 - 101157

Published: Feb. 10, 2024

Language: Английский

Citations

2
Navigating public transport during a pandemic: Key lessons on travel behavior and social equity from two surveys in Tehran DOI

Sina Karimi,

Mahdi Samadzad, Gaële Lesteven

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 184, P. 104075 - 104075

Published: April 25, 2024

Language: Английский

Citations

2
How did the COVID-19 pandemic affect driver speed selection and crash risk on rural freeways? DOI
Nischal Gupta, Anshu Bamney, Alireza Rostami

et al.

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2023, Volume and Issue: 97, P. 181 - 206

Published: July 22, 2023

Language: Английский

Citations

5
Shifts in the neighborhood distribution of daytime population after the COVID-19 outbreak: A comparison across age groups DOI
Eun Jin Shin

Cities, Journal Year: 2024, Volume and Issue: 147, P. 104825 - 104825

Published: Feb. 1, 2024

Language: Английский

Citations

1
The Impact of Social Media and Infection Perception on the Intentions of Recreational Vehicle Tours: An Extended Model of Goal-Directed Behavior DOI Creative Commons
Chao Zeng,

Zihan Yang,

Yufan Zhai

et al.

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 986 - 986

Published: Oct. 24, 2024

Despite the rapid expansion of China's RV (recreational vehicle) tourism industry, research on tourist behavior remains limited. This study develops an extended model goal-directed (EMGB) that more comprehensively explains formation tourists' intentions to engage in tourism. The EMGB incorporates critical factors, including perception infection (PI), social media influence (SM), infrastructure (IP), and perceived advantages drive (PAD), into original (MGB). Results from a survey involving 545 tourists reveal achieves satisfactory fit with data larger proportion variance behavioral intentions. Notably, all variables within MGB remain significant predictors both desire intention. Furthermore, this identifies factors such as Time Economy capability, age, region moderators decision-making process for tourists. These findings offer valuable insights marketers governmental bodies, empowering them make reasonable decisions devise strategies cater diverse needs preferences future.

Language: Английский

Citations

1